from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from jms.dm.dm_mng_cn_project_order_detail_dt import jms_dm__dm_mng_cn_project_order_detail_dt
from jms.dm.dm_mng_cn_project_order_taking_detail_dt import jms_dm__dm_mng_cn_project_order_taking_detail_dt

jms_dm__dm_mng_cn_project_network_summary_dt = SparkSqlOperator(
    task_id='jms_dm__dm_mng_cn_project_network_summary_dt',
    task_concurrency=1,
    pool_slots=2,
    master='yarn',
    execution_timeout=timedelta(minutes=30),
    email=['shenjiaming@jtexpress.com', 'yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_mng_cn_project_network_summary_dt_{{ execution_date | cst_ds }}',
    sql='jms/dm/dm_mng_cn_project_network_summary_dt/execute.hql',
    driver_memory='3G' , 
    driver_cores=2 , 
    executor_cores=2 , 
    executor_memory='2G' , 
    num_executors=2 , 
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 2 , 
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': '300',  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.sql.shuffle.partitions': '240',
          'spark.default.paralleism': '240',
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.network.timeout': '900',
          'spark.core.connection.ack.wait.timeout': '300',
          'spark.sql.autoBroadcastJoinThreshold': '104857600',
          'spark.yarn.executor.memoryOverhead': '8192',
          },
    hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
              'hive.exec.dynamic.partition.mode': 'nonstrict',
              'hive.exec.max.dynamic.partitions': '400',  # 每天生成 20 个分区
              'hive.exec.max.dynamic.partitions.pernode': '200',  # 每天生成 20 个分区
              },
    yarn_queue='pro',
)

jms_dm__dm_mng_cn_project_network_summary_dt << [
    jms_dm__dm_mng_cn_project_order_detail_dt,
    jms_dm__dm_mng_cn_project_order_taking_detail_dt
]
